An automated documentation and reporting system for CFD

must be developed which can improve the efficiency of Aerodynamics design requires a tremendous and uncertainty in the data, and distill high-level number of CFD calculations. Data management tools knowledge and trends from the solution sets. This need are needed which can improve the efficiency of these has been recognized by personnel from both calculations, facilitate the understanding of errors and commercial and government organizations; therefore, uncertainty in the data, and distill high-level successful data management systems will play a key knowledge and trends from the solution sets. This role in future aerospace design environments. paper describes a knowledge system for documenting The purpose of this project is to develop a and reporting high-level CFD information. The knowledge management system for capturing, documentation portion of the system gathers documenting, and reporting high-level CFD information from CFD calculations, such as the input information. This knowledge can then be used to values and solution quality measures, and stores this develop intelligent reasoning tools. High-level information in a database. The reporting mechanism information for CFD calculations includes: (1) the allows users to query the information and to retrieve objective of the calculation, (2) the algorithms, physical output, and includes a method for integrating data models, and fidelity level that compose the from a large number of runs so they can be viewed in computational technology, (3) a description of the a multidimensional design space. Metrics that engineering problem being solved, (4) the input and quantify the uncertainty and inconsistency information grid parameters used during the calculation, are included in the design data for inspection by the (5) measures of the solution accuracy and convergence, user. Users can also learn how well the computational (6) appropriateness of the turbulence and/or transition technology applies to a given problem, the limitations models used, (7) significant flow features present in the of the technology, the errors present in the solution, solution, (8) postprocessed data that are of interest to and the distribution of a flow feature throughout the the end users of the calculation, and (9) the design space. computational and manpower resources required to